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Research in Silicon Valley
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Responding to the Antique : a rediscovered Roman Circus Sarcophagus and its Renaissance Afterlife
(2005)
Single-cell analyses comprise a multitude of analytical methods that share a common feature, namely the focus on individual cells. This is in contrast to previous methods that provided summarized data for cell clusters, groups of cells, tissues and organs. The new field offers huge potential not only for basic research, but also for medical and biotechnological applications, as it opens up new levels in the context-related and personal interpretation of biological interconnections. This brochure on single-cell analysis provides an overview on the new possibilities from the viewpoint of developmental biology, biomedicine and bioinformatics, but also addresses possible social im-plications and consequences.
Socioeconomic inequalities are functions not only of intrinsic differences between persons or groups, but also of the dynamics of their interactions. Inequalities can arise and become stabilized if there are advantages (such as generalized wealth including “human capital”) which are self-enhancing, whereas depletion of limiting resources is widely distributed. A recent theory of biological pattern formation has been generalized, adapted and applied to deal with this process. Applications include models for the non-Gaussian distribution of personal income and wealth, for overall economic growth in relation to inequalities and for effects of uncoupling strategies between developing and developed countries. Note added after publication: The equations (14) for the model of the income distribution, with its characteristic non-Gaussian extension towards higher incomes (fig.4), are closely related to the Fokker-Planck equation that is widely applied in many fields of physics.